A tool condition monitoring method based on two-layer angle kernel extreme learning machine and binary differential evolution for milling

Extreme Learning Machine for Multilayer Perceptron

Jiexiong Tang, Chenwei Deng, Guang-Bin Huang · IEEE Transactions on Neural Networks and Learning Systems · 2015 · 1.5K citations

Computing, Computer Science, Artificial Intelligence +16

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

Rui Zhao, Dongzhe Wang, Kezhi Mao et al. · IEEE Transactions on Industrial Electronics · 2017 · 874 citations

Computing, Computer Science, Feature Engineering +16

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

Rui Zhao, Ruqiang Yan, Jinjiang Wang et al. · Sensors · 2017 · 734 citations · Full text

Computing, Computer Science, Machine Learning +15

What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle

Guang-Bin Huang · Cognitive Computation · 2015 · 476 citations

Computing, Computer Science, Artificial Intelligence +10

Estimation of tool wear during CNC milling using neural network-based sensor fusion

Nirmalya Ghosh, Yoganraj Ravi, Aditya Kumar Patra et al. · Mechanical Systems and Signal Processing · 2006 · 391 citations

Engineering, Manufacturing Engineering, Mechanical Engineering +14